Periodic Motion Control of Human Arm Movement Based on CPG model

被引：0

作者：

Wu, Jiong ^{[1
]}

Wang, Rubin ^{[1
]}

Zhang, Zhikang ^{[1
]}

Cao, Jianting ^{[1
]}

机构：

[1] East China Univ Sci & Technol, Inst Cognit Neurodynam, Sch Informat Sci & Engn, Shanghai 200237, Peoples R China

来源：

ADVANCES IN COGNITIVE NEURODYNAMICS (II) | 2011年

关键词：

Central pattern generator; Periodic motion control; Six muscles models; Minimum torque change criterion; Genetic algorithm;

D O I：

10.1007/978-90-481-9695-1_78

中图分类号：

Q189 [神经科学];

学科分类号：

071006 ;

摘要：

In this paper, a Central Pattern Generator (CPG) model of a flexor and an extensor is developed, according to the experiments implemented in a crank-rotation task. The drive torque which achieved the arm movement is obtained by six muscles models consisted of outputs of the CPG model. The parameters of CPG model is optimized by minimum torque-change criterion and genetic algorithm. Finally, the simulation results are compared with to the experimental data and the CPG model of six muscles are discussed.

引用

页码：493 / 498

页数：6

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